
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "27"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 123 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 118 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	38.203988	15.614930	69.209522	79.612150	20.909597	27.159426	37.170759	30.778109	0.0487	0.0603	0.0038	1.283087	1.279875
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	34.853300	16.197444	80.576198	85.058668	31.400640	37.677902	24.229608	12.362612	0.0475	0.0591	0.0049	1.241951	1.234936
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	2.561844	1.602319	6.678386	6.981248	2.751678	1.548869	3.506182	0.366933	0.0339	0.0304	0.0020	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	31.370867	18.988165	95.066771	98.740883	27.106894	32.666092	13.548186	1.777170	0.0449	0.0568	0.0054	1.276887	1.274525
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	39.013428	22.739748	88.183677	92.006141	29.128854	34.988274	19.392391	4.154912	0.0477	0.0608	0.0054	1.271834	1.274573
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	33.971161	20.762337	82.164076	85.394528	17.089426	21.997458	23.563852	17.190556	0.0490	0.0606	0.0046	1.244621	1.242485
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	39.964581	16.152188	96.673378	104.196834	22.061017	25.074651	23.161063	13.402953	0.0505	0.0631	0.0047	1.262718	1.245929
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	33.328294	21.105042	133.249961	139.166840	7.101094	8.829377	20.457494	14.802531	nan	nan	nan	1.269272	1.294905
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.785421	17.744689	31.318714	32.158700	10.117008	11.652993	21.918462	5.719354	0.0452	0.0564	0.0041	1.253293	1.245768
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.668970	26.056144	10.083594	10.650280	9.126900	10.153076	9.058235	3.447506	0.0339	0.0338	0.0022	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.066283	24.306487	111.823710	114.594312	15.347932	17.832184	7.640550	8.437155	0.0388	0.0439	0.0033	1.449871	1.543724
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.265052	18.546688	34.476213	35.257753	19.955030	23.469241	0.356907	0.204697	0.0476	0.0527	0.0040	1.282714	1.332358
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.335741	15.919202	31.016307	32.011145	23.966278	28.490300	0.455029	0.351186	0.0432	0.0480	0.0041	1.234234	1.257865
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.112478	22.428316	35.939321	36.132904	18.851473	22.912524	0.749685	0.408873	0.0462	0.0528	0.0045	1.207955	1.234248
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.270490	16.870114	36.088196	37.004662	20.983753	24.234897	0.250347	0.189796	0.0506	0.0575	0.0054	1.256849	1.305532
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.086200	16.771491	40.860214	42.048793	23.371427	27.354910	1.850644	1.534441	0.0461	0.0532	0.0058	1.215876	1.273005
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.269293	1.738211	2.929411	2.413801	1.043350	0.759729	2.702021	1.300060	0.0355	0.0301	0.0017	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.760741	21.770573	33.368762	33.791137	20.932525	24.890481	0.607033	0.381780	0.0458	0.0532	0.0058	1.203933	1.235866
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.624217	17.136607	26.534530	27.111544	19.064327	21.924727	1.365272	1.068252	0.0392	0.0437	0.0054	1.191226	1.195117
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.402761	17.083558	26.279671	26.910682	15.705918	17.179812	7.315609	6.327710	0.0370	0.0395	0.0032	0.000000	0.000000
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.630722	15.919114	25.228553	25.760035	20.606128	24.229819	1.482690	0.681833	0.0419	0.0476	0.0059	1.165467	1.166439
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.091649	16.206552	43.424050	44.288932	24.765037	28.343676	1.406720	1.422805	0.0385	0.0423	0.0041	0.000000	0.000000
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.082872	16.576213	25.345297	25.918434	15.925506	17.955515	3.048413	2.547919	0.0393	0.0432	0.0050	1.158110	1.156196
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.709691	1.367016	2.835975	2.502076	1.188288	0.107410	2.747813	1.294948	0.0379	0.0329	0.0035	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.744968	15.677777	33.111798	33.608672	19.003081	21.924464	-0.058581	-0.157328	0.0383	0.0423	0.0044	1.024056	1.020507
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.532291	0.532291	0.525437	0.525437	-0.677115	-0.677115	-0.811160	-0.811160	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.174538	14.159326	35.119320	35.739697	2.395884	2.368420	0.958507	0.641428	0.0461	0.0552	0.0049	1.189694	1.203759
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.810314	12.917368	18.417908	18.634720	2.949094	3.387725	1.201769	0.915644	0.0527	0.0601	0.0054	1.203364	1.230153
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.228429	16.894894	34.572326	35.622026	21.690837	23.294809	1.659116	1.353660	0.0488	0.0556	0.0052	1.220999	1.261465
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0399	0.0357	0.0035	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.747008	17.257767	37.355068	38.557987	19.473468	21.080259	3.693612	3.117567	0.0519	0.0588	0.0053	1.254167	1.291777
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0466	0.0535	0.0055	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0508	0.0591	0.0060	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.380902	20.764871	50.396545	50.881312	29.092511	32.134478	3.476575	3.006399	0.0470	0.0529	0.0046	0.970085	0.965865
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.408068	9.991290	20.403926	20.652344	3.420740	4.226442	1.455228	1.043043	0.0486	0.0547	0.0045	1.206511	1.233245
2459550	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0425	0.0458	0.0023	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.311219	15.225963	37.897333	38.437045	21.050110	23.035229	1.487901	1.078290	0.0466	0.0526	0.0046	1.223171	1.260187
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.311588	21.167923	76.973201	77.898630	1.078131	1.888153	1.727952	1.014127	0.0460	0.0552	0.0048	1.216050	1.230929
2459541	RF_maintenance	100.00%	98.66%	98.66%	0.00%	100.00%	0.00%	10.858318	10.365911	38.149251	36.871294	220.239135	248.892738	8.961069	15.553789	0.0643	0.0752	0.0074	1.283600	1.325237
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.410669	15.077542	17.156533	17.731926	4.144709	5.215726	0.844358	0.852171	0.0443	0.0471	0.0020	1.194574	1.203595
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.349527	25.675063	65.534507	66.242194	29.515843	31.638106	2.988259	2.045679	0.0432	0.0497	0.0058	1.234352	1.270467
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.423821	12.075055	15.943640	16.270852	2.187874	5.499907	0.389835	0.341076	0.0539	0.0574	0.0020	1.221478	1.241147
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.010966	12.292501	14.822722	15.054681	2.285980	3.867008	0.242928	-0.043895	0.0451	0.0492	0.0030	1.204892	1.229726
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.179399	18.595697	35.331849	36.078899	18.059503	20.717652	1.578209	1.489302	0.0437	0.0492	0.0041	1.250911	1.267597
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.073040	21.578831	47.605121	48.906155	22.326917	25.457996	1.029865	0.821835	0.0438	0.0496	0.0041	1.273459	1.301768
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.530622	10.670963	15.055563	15.293572	3.488645	4.261371	0.760653	0.476139	0.0518	0.0558	0.0039	1.214797	1.250287
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.390808	26.288362	53.482973	54.594384	40.332287	34.837175	0.351569	0.474341	0.0477	0.0622	0.0123	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	22.662304	21.753371	52.018540	52.056853	17.296645	29.578404	2.403348	1.895866	nan	nan	nan	1.531127	1.572254
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.661602	22.929764	51.231728	52.893597	10.826329	23.584438	1.863379	1.684625	0.0485	0.0572	0.0077	1.286105	1.305048
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.103063	1.874090	2.906365	2.764878	0.467100	-0.227335	2.023073	0.672368	0.0394	0.0409	0.0062	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.739870	29.302377	49.997486	51.481661	18.066150	15.556967	12.905420	14.891496	0.0445	0.0526	0.0042	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.113188	29.103260	46.858311	49.722013	6.989947	9.843424	1.113596	1.695091	0.0499	0.0584	0.0084	1.247693	1.323480
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.356811	28.618635	82.657467	84.192234	33.783462	33.327236	2.743851	2.818965	0.0445	0.0564	0.0132	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.883718	22.767026	54.533572	56.820036	21.477686	26.612266	1.585933	0.783632	0.1262	0.0566	0.0599	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.097973	26.478385	65.724338	69.139591	21.712697	27.002974	0.561156	1.454325	0.1462	0.0564	0.0748	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.301951	28.635916	84.354205	89.271429	21.123062	27.385850	2.847333	11.641306	0.1458	0.0567	0.0790	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.936516	24.776188	75.281476	79.735408	18.008193	24.245804	3.549458	4.477495	0.1509	0.0701	0.0744	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.924140	22.798948	84.419297	83.969737	22.310238	41.223310	2.837429	98.614864	0.1686	0.0670	0.0780	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.200793	29.792864	77.046170	81.636840	19.875899	28.277205	1.278758	2.092849	0.1933	0.0744	0.0794	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.783763	23.916216	71.823181	76.010155	16.970742	24.902129	1.904034	2.761978	0.1891	0.0701	0.0812	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.194401	25.188009	76.675087	81.053355	19.793860	27.880103	5.238656	6.128127	0.1765	0.0589	0.0804	0.000000	0.000000
2459492	RF_maintenance	100.00%	86.02%	100.00%	0.00%	100.00%	0.00%	22.996508	26.348258	55.623174	57.717432	22.000855	29.018901	6.235906	6.704619	0.2558	0.0694	0.1067	1.191471	0.939554
2459491	RF_maintenance	100.00%	59.14%	100.00%	0.00%	100.00%	0.00%	22.139148	24.972114	60.418918	63.228326	30.387666	43.480228	3.890623	12.801785	0.3715	0.1058	0.1955	0.903345	0.652618
2459490	RF_maintenance	100.00%	88.71%	100.00%	0.00%	100.00%	0.00%	25.925370	29.486601	63.393984	65.622670	20.868929	26.899663	5.304231	6.800708	0.2440	0.0701	0.1237	4.286557	1.701753
2459489	RF_maintenance	100.00%	75.27%	100.00%	0.00%	100.00%	0.00%	22.450603	25.272422	57.210117	59.631259	20.375160	28.242946	4.399086	8.384591	0.2903	0.0741	0.1562	4.329286	1.720184
2459488	RF_maintenance	100.00%	83.33%	100.00%	0.00%	100.00%	0.00%	21.711843	24.299874	47.937746	49.482740	22.958334	30.952600	7.476914	10.682261	0.2608	0.0723	0.1366	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 27 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 27, Node 1:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 27: 2459649

Antenna 27: 2459648

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Antenna 27: 2459625

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Antenna 27: 2459623

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Antenna 27: 2459618

Antenna 27: 2459617

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Antenna 27: 2459615

Antenna 27: 2459614

Antenna 27: 2459613

Antenna 27: 2459612

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Antenna 27: 2459609

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Antenna 27: 2459598

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Antenna 27: 2459570

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶